license: apache-2.0
MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments
Mobile World is a substantially more challenging mobile-use benchmark designed to better reflect real-world mobile usage. It comprises 201 tasks across 20 applications, featuring long-horizon, cross-app tasks, and novel task categories including agent-user interaction and MCP-augmented tasks.
The difficulty of Mobile World is twofold:
- Long-horizon, cross-application tasks. Mobile World tasks require on average 27.8 completion steps, nearly twice as many as 14.3 steps required in AndroidWorld. Moreover, 62.2% of tasks involve cross-application workflows compared to only 9.5% in AndroidWorld.
- Novel task categories. Mobile World extends beyond standard GUI manipulation by introducing (1) agent-user interaction tasks (22.4%) that evaluate an agent's ability to handle ambiguous instructions through collaborative dialogue, and (2) MCP-augmented tasks (19.9%) that require hybrid-usage of GUI navigation and external tool invocations via the Model Context Protocol.
The system architecture of Mobile World consists of two main components. Left: the host machine is where GUI agents receive task instructions and optionally interact with users for clarification, then choose between GUI actions or MCP tool calls to complete tasks. Right: the docker environment contains an isolated Android ecosystem with emulators, self-hosted app backends, and an evaluator that verifies task completion through text matching, backend database, local storage, and app callbacks.
In this dataset, we provide an overview of all task goals in our benchmark.
- Github: https://github.com/Tongyi-MAI/MobileWorld
- Project Page: https://tongyi-mai.github.io/MobileWorld/
- arxiv: https://arxiv.org/abs/2512.19432